Setu Shah
Lead AI Software Engineer - Agentforce at Salesforce
San Francisco, California, United States
Summary
🤩
Rockstar🎓
Top SchoolSetu Shah is a Lead AI Software Engineer based in San Francisco with nine years of experience building NLP-driven products and ML platforms across healthcare and cloud domains. He blends applied research from his Purdue MS with hands-on production work—driving NLP for behavioral health at Ginger and Headspace Health and improving ML/infra at Galileo before joining Salesforce Agentforce. Setu is an active open-source contributor, notably adding Okta authentication and security improvements to the popular doccano annotation tool and enhancing Python Lambda and SageMaker bundling in the aws-cdk project. He excels at bridging research and engineering: shipping secure backend integrations, packaging and deployment improvements, and end-to-end ML systems that move models from prototype to monitored production. An oft-overlooked strength is his cross-functional fluency—mentoring, product collaboration, and data engineering—helping teams turn complex language signals into reliable, scalable services.
9 years of coding experience
9 years of employment as a software developer
Master of Science - MS Computer Engineering, Master of Science - MS Computer Engineering at Purdue UniversityBachelor of Engineering - BE Electronics and Telecommunication, Bachelor of Engineering - BE Electronics and Telecommunication at Savitribai Phule Pune University
English, Hindi, Marathi, Gujarati, Chinese, Sanskrit
Github Skills (23)
python10
apidoc10
django10
typescript10
cloud-infrastructure10
infrastructure10
lambdas10
api10
aws10
typescript-types10
lambda10
infrastructure-as-code10
social-authentication10
typescripts10
dockers9
Programming languages (16)
Github contributions (5)
aws/aws-cdk
Dec 2020 - Jan 2022
The AWS Cloud Development Kit is a framework for defining cloud infrastructure in code
Role in this project:
Cloud Engineer / Infrastructure Engineer
Cloud Engineer / Infrastructure EngineerContributions:41 reviews, 6 commits, 11 PRs in 1 year 2 months
Contributions summary:Setu primarily contributed to the AWS Cloud Development Kit (CDK) repository by implementing and refactoring features related to Python Lambda functions and the integration of Python packaging tools like Poetry. They added support for custom bundling Docker images, environment variables during bundling, and corrected asset file bundling. The user also made improvements to the SageMaker integration within the Step Functions tasks, incorporating ModelClientConfig support.
development-kitaws-cloudcloud-infrastructureinfrastructurecloud-development
doccano/doccano
Apr 2020 - Sep 2020
Open source annotation tool for machine learning practitioners.
Role in this project:Back-end Developer
Back-end DeveloperContributions:10 commits, 4 PRs, 27 comments in 5 months
Contributions summary:Setu primarily contributed to back-end functionalities, specifically adding support for Okta authentication and integrating it within the existing Django-based application. Their work involved implementing pipeline functions, modifying settings and templates to enable Okta login, and enhancing the user authentication process. Furthermore, the user addressed security concerns by batching user save calls, setting the Django staff status from superuser status, and ensuring the correct handling of Okta OpenID Connect inheritence. The user also added timestamps to the annotation serializers.
nlppractitionerspythontext-annotationdataset
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